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Whither dynamic congestion management ?

Whither dynamic congestion management ?. IREP Symposium 2004 Cortina d’Ampezzo (Italy) Louis WEHENKEL – Université de Liège. Outline. The proposal Static congestion management Dynamic congestion management Some arguments in favor of Dynamic CM Immediate vs. delayed actions

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Whither dynamic congestion management ?

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  1. Whither dynamic congestion management ? IREP Symposium 2004 Cortina d’Ampezzo (Italy) Louis WEHENKEL – Université de Liège

  2. Outline The proposal Static congestion management • Dynamic congestion management Some arguments in favor of Dynamic CM • Immediate vs. delayed actions • Multiple solutions of SCOPF based static CM • Market power, gaming • Sub-optimality of static CM Feasibility and needs for research

  3. Congestion management • Real-time decision making by system operators to • maintain system security above minimum • minimize economic impact • avoid discrimination and market bias • Remarks • time step typically of 15 to 30 minutes • objectives monitored over a longer term

  4. Static CM • Problem formulation At time k, compute decision uk to • satisfy instantaneous security constraints and • minimize instantaneous costs Given xk , select uk in U(xk) to minimize ck(xk, uk) • Notation k : discrete time index (say 15 minutes time step) xk: electrical state vector at time k (estimated) uk: decision variables at time k (to determine) ck(x,u) : instantaneous cost function, U(x) : constraints on decision variables • NB: Constraints U(x) include feasibility and all kinds of security constraints deemed relevant (N, N-1, static, dynamic…)

  5. Dynamic CM • Problem formulation • (Assuming a state transition model : xk+1 = f(xk , uk ,, wk ) ) • At time k, compute a sequence of decisions (uk , uk+1,…, uk+T-1) to • satisfy security constraints and • minimize cost induced over the whole time interval (k, k+T-1) • Remarks • Apply uk and refresh the sequence at the next time step • Time step of 5 to 30 minutes • Time horizon T of several hours to a few days • (and we neglect faster dynamics)

  6. Argument/Question No1 • Dynamic Congestion Management can in principle reach a better security/cost tradeoff (over the long term) than static congestion management Would savings be significant ?

  7. Argument/Question No2 • In dynamic CM one can include constraints and/or penalization terms to • allocate impact on market participants in a non discriminating way (whatever that means…) • fight against gaming and market power What is the impact of this on the overall security/cost tradeoff ?

  8. Computational feasibility ? Try to combine existing model-based tools • SCOPF, DSA, DSE with stochastic optimization and approximation techniques to solve stochastic dynamic programming problem Can be used on-line or off-line

  9. Grazie mille

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